Robust Set-Membership Filtering Techniques on GPS Sensor Jamming Mitigation

The global positioning system (GPS) is a satellite-based navigation sensor that supplies the consumer/military users with the proper equipment access to accurate positioning and timing information anywhere in the world. Interference has a significant influence on the acquisition and tracking of sate...

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Bibliographic Details
Published in:IEEE sensors journal 2017-03, Vol.17 (6), p.1810-1818
Main Author: Mao, Wei-Lung
Format: Article
Language:English
Subjects:
Adaptive filters
Bounding ellipsoidal adaptive constrained least-squares (BEACON) algorithm
Convergence
Filtering algorithms
Global Positioning System
global positioning system (GPS) Sensor
Global positioning systems
GPS
Interference
Jamming
jamming mitigation
Sensors
set-membership filtering (SMF) algorithm
time-varying error bound
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Summary:The global positioning system (GPS) is a satellite-based navigation sensor that supplies the consumer/military users with the proper equipment access to accurate positioning and timing information anywhere in the world. Interference has a significant influence on the acquisition and tracking of satellite signals from a GPS sensor. An adaptive BEACON filter based on optimal bounding ellipsoid (OBE) criterion is proposed for GPS interference mitigation applications. The OBE algorithm that provides the low computational efficiency and highly selective update mechanism is adopted to adjust the weights and thereby track swiftly the stationary and non-stationary frequency modulation (FM) waveforms. According to the GPS signal specification, a time-varying error bound mechanism is derived and incorporated into the BEACON method. The remarkable properties of the proposed BEACON canceller are their rapider convergence rate and favorable lower complexity burden. Simulation results demonstrate that its SNR improvement factor exceeds the factors of conventional NLMS, SM-NLMS, and SM-APA filters under the single-tone CWI, multi-tone CWI, pulse CWI, and FM jamming environments, respectively.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2016.2558192